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Sprenger and Soekka worried about few things growing up in their village of ancient fighters; train hard and they could be the best, be confident but not arrogant with their abilities, and fight for their home, even if it costs their lives. But as the boys rise to the top of their class, their lives become muddled with secrets of their families long dead. Stories begin to become histories and the boys learn of monstrous animals that once resided in their forest and the fighters that tamed them. One secret after another leads the boys to the greatest discoveries of their lives, and the greatest deceptions of their village. With the ghosts of their parents haunting their every thought and the guidance of the most feared fighter in their village, Soekka and Sprenger must decide who to trust and who to betray. Quickly, the boys learn that secrets are sometimes kept for a very good reason...

Lightweight, stress resistant O Matter™ frame sunglasses High Definition Optics® for crystal clear vision Three-Point Fit holds your lenses in precise optical alignment Unobtanium® nosepads 100% UV protection Soft shell case included

Lightweight, stress resistant O Matter™ frame sunglasses High Definition Optics® provides crystal clear vision Three-Point Fit holds your lenses in precise optical alignment Unobtainium® nosepads for a no-slip grip 100% UV protection Soft shell case included

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Sprenger and Soekka worried about few things growing up in their village of ancient fighters; train hard and they could be the best, be confident but not arrogant with their abilities, and fight for their home, even if it costs their lives. But as the boys rise to the top of their class, their lives become muddled with secrets of their families long dead. Stories begin to become histories and the boys learn of monstrous animals that once resided in their forest and the fighters that tamed them. One secret after another leads the boys to the greatest discoveries of their lives, and the greatest deceptions of their village. With the ghosts of their parents haunting their every thought and the guidance of the most feared fighter in their village, Soekka and Sprenger must decide who to trust and who to betray. Quickly, the boys learn that secrets are sometimes kept for a very good reason...

Age-Period-Cohort Analysis: New Models, Methods, and Empirical Applications is based on a decade of the authors’ collaborative work in age-period-cohort (APC) analysis. Within a single, consistent HAPC-GLMM statistical modeling framework, the authors synthesize APC models and methods for three research designs: age-by-time period tables of population rates or proportions, repeated cross-section sample surveys, and accelerated longitudinal panel studies. The authors show how the empirical application of the models to various problems leads to many fascinating findings on how outcome variables develop along the age, period, and cohort dimensions. The book makes two essential contributions to quantitative studies of time-related change. Through the introduction of the GLMM framework, it shows how innovative estimation methods and new model specifications can be used to tackle the "model identification problem" that has hampered the development and empirical application of APC analysis. The book also addresses the major criticism against APC analysis by explaining the use of new models within the GLMM framework to uncover mechanisms underlying age patterns and temporal trends. Encompassing both methodological expositions and empirical studies, this book explores the ways in which statistical models, methods, and research designs can be used to open new possibilities for APC analysis. It compares new and existing models and methods and provides useful guidelines on how to conduct APC analysis. For empirical illustrations, the text incorporates examples from a variety of disciplines, such as sociology, demography, and epidemiology. Along with details on empirical analyses, software and programs to estimate the models are available on the book’s web page.

Unread book in perfect condition.

The purpose of this volume is to reveal as much information as possible on the nature of dance in Old Kingdom Egypt. Evidence from tomb paintings is plentiful, and Kinney is able to identify several styles of dance and draw conclusions as to their function and context.

Age-Period-Cohort Analysis: New Models, Methods, and Empirical Applications is based on a decade of the authors’ collaborative work in age-period-cohort (APC) analysis. Within a single, consistent HAPC-GLMM statistical modeling framework, the authors synthesize APC models and methods for three research designs: age-by-time period tables of population rates or proportions, repeated cross-section sample surveys, and accelerated longitudinal panel studies. The authors show how the empirical application of the models to various problems leads to many fascinating findings on how outcome variables develop along the age, period, and cohort dimensions. The book makes two essential contributions to quantitative studies of time-related change. Through the introduction of the GLMM framework, it shows how innovative estimation methods and new model specifications can be used to tackle the "model identification problem" that has hampered the development and empirical application of APC analysis. The book also addresses the major criticism against APC analysis by explaining the use of new models within the GLMM framework to uncover mechanisms underlying age patterns and temporal trends. Encompassing both methodological expositions and empirical studies, this book explores the ways in which statistical models, methods, and research designs can be used to open new possibilities for APC analysis. It compares new and existing models and methods and provides useful guidelines on how to conduct APC analysis. For empirical illustrations, the text incorporates examples from a variety of disciplines, such as sociology, demography, and epidemiology. Along with details on empirical analyses, software and programs to estimate the models are available on the book’s web page.

Book is in Used-Good condition. Pages and cover are clean and intact. Used items may not include supplementary materials such as CDs or access codes. May show signs of minor shelf wear and contain limited notes and highlighting. 0.76

The purpose of this volume is to reveal as much information as possible on the nature of dance in Old Kingdom Egypt. Evidence from tomb paintings is plentiful, and Kinney is able to identify several styles of dance and draw conclusions as to their function and context.

Age-Period-Cohort analysis has a wide range of applications, from chronic disease incidence and mortality data in public health and epidemiology, to many social events (birth, death, marriage, etc) in social sciences and demography, and most recently investment, healthcare and pension contribution in economics and finance. Although APC analysis has been studied for the past 40 years and a lot of methods have been developed, the identification problem has been a major hurdle in analyzing APC data, where the regression model has multiple estimators, leading to indetermination of parameters and temporal trends. A Practical Guide to Age-Period Cohort Analysis: The Identification Problem and Beyond provides practitioners a guide to using APC models as well as offers graduate students and researchers an overview of the current methods for APC analysis while clarifying the confusion of the identification problem by explaining why some methods address the problem well while others do not. Features · Gives a comprehensive and in-depth review of models and methods in APC analysis. · Provides an in-depth explanation of the identification problem and statistical approaches to addressing the problem and clarifying the confusion. · Utilizes real data sets to illustrate different data issues that have not been addressed in the literature, including unequal intervals in age and period groups, etc. Contains step-by-step modeling instruction and R programs to demonstrate how to conduct APC analysis and how to conduct prediction for the future Reflects the most recent development in APC modeling and analysis including the intrinsic estimator Wenjiang Fu is a professor of statistics at the University of Houston. Professor Fu’s research interests include modeling big data, applied statistics research in health and human genome studies, and analysis of complex economic and social science data.

THE MEDICAL ELECTRICIANS Dr. Scott and his Victorian Colleagues in Quackery George Augustus Scott, although he gained notoriety (and riches) selling “electric” cure-alls, was a wide-ranging entrepreneur. Scott left behind legitimate legacies: successful manufacturing businesses in Massachusetts and London, and a famously unsuccessful mercantile cooperative in New York. The story of ‘Dr. Scott,’ a quack peddler of Electric brushes, corsets, and belts, electric in name only, is intertwined with those of several other Victorian Medical Electricians. He mentored protégés who became infamous for quackery: Cornelius B. Harness, in England, and John R. Foran in America; and tangled with a feisty Brooklyn competitor, William C. Wilson, who later took up with Foran. George Scott was not a physician, and avoided referring to himself as Doctor except in his audacious advertisements. He did not seek personal publicity (an attribute rare among quacks) but was well known socially. Scott died a wealthy man at age 48, and his Pall Mall Electric business persisted for years, the last known advertisements appeared in the 1920s. Here are the advertisements and adventures of Scott, Harness, Wilson, Foran and their colleagues in quackery during the latter part of the Nineteenth Century.

Age-Period-Cohort analysis has a wide range of applications, from chronic disease incidence and mortality data in public health and epidemiology, to many social events (birth, death, marriage, etc) in social sciences and demography, and most recently investment, healthcare and pension contribution in economics and finance. Although APC analysis has been studied for the past 40 years and a lot of methods have been developed, the identification problem has been a major hurdle in analyzing APC data, where the regression model has multiple estimators, leading to indetermination of parameters and temporal trends. A Practical Guide to Age-Period Cohort Analysis: The Identification Problem and Beyond provides practitioners a guide to using APC models as well as offers graduate students and researchers an overview of the current methods for APC analysis while clarifying the confusion of the identification problem by explaining why some methods address the problem well while others do not. Features · Gives a comprehensive and in-depth review of models and methods in APC analysis. · Provides an in-depth explanation of the identification problem and statistical approaches to addressing the problem and clarifying the confusion. · Utilizes real data sets to illustrate different data issues that have not been addressed in the literature, including unequal intervals in age and period groups, etc. Contains step-by-step modeling instruction and R programs to demonstrate how to conduct APC analysis and how to conduct prediction for the future Reflects the most recent development in APC modeling and analysis including the intrinsic estimator Wenjiang Fu is a professor of statistics at the University of Houston. Professor Fu’s research interests include modeling big data, applied statistics research in health and human genome studies, and analysis of complex economic and social science data.

Caution! No English version! Polish release.

Caution! No English version! Polish release.

Book is in NEW condition. 0.78

Book is in NEW condition. 1.28